We are hiring our first AI Automation Engineer to design, build, and scale AI-powered workflows and agents across the company. This role is hands-on and impact driven. You will partner with Product, Engineering, GTM, and Internal Operations to turn real operational problems into reliable, production-ready automations used every day, while also advising teams on how AI can be applied effectively in their domain. Your work will be visible in how teams operate, how fast we move, and how smart our processes become. Success will be measured in hours saved, error reduction, and higher throughput across the business. The role reports to the VP of Engineering and operates with a high degree of autonomy.
We offer you the opportunity to- Deliver AI-powered workflows and agents with clear owners and measurable impact, such as hours saved, error reduction, and throughput gains.
- Identify and prioritize high‑value automation opportunities, shaping them into scoped use cases with expected efficiency outcomes.
- Set up, own, and continuously evolve the company AI toolchain to drive AI automations, workflows, and agents.
- Help define and maintain the practical operating model for AI workflows across the company, including how they are requested, approved, documented, secured, monitored, and maintained.
- Enable teams to use modern AI tools through short, practical sessions, driving measurable adoption and satisfaction.
- Build fast AI-powered prototypes, evolve successful pilots into stable production workflows, and ensure reliability and cost efficiency.
- Maintain reusable prompts, templates, and components that accelerate future automation work and improve time-to-delivery.
- Monitor usage and performance through lightweight dashboards, driving continuous improvement based on real-world results.
- Have an engineering foundation with hands-on experience building automations or integrations, along with solid debugging and testing practices
- Bring applied AI fluency, with practical experience building production-oriented LLM workflows, RAG architectures, prompt and context engineering, evaluation frameworks, security guardrails, and workflow automation
- Communicate clearly and in a friendly way, able to explain complex ideas simply and collaborate across the company
- Have an outcome mindset and are comfortable defining metrics and improving the reliability, speed, and cost of what you build
- Show ownership and initiative, spotting opportunities, shaping them into scoped solutions, and driving them through to adoption
- Demonstrate security and privacy awareness, with practical judgment on safe data use and compliance
- A remote-yes company, where you can decide every day whether you work from home, at our Stuttgart or Munich office, or at any Design Office in Germany.
- A permanent employment contract, 30 days of vacation, and the opportunity to participate in the company's success through our VSOP program.
- Modern hardware and the frame for a height-adjustable desk.
- An annual training budget of 1000,00 EURO for your professional development.
- In Germany: A subsidized job bike to escape city traffic and a Wellpass gym membership to stay active.
- A dynamic start-up atmosphere and an international team in which new ideas, creative approaches, and cooperation at eye level are valued.
- To enjoy Corporate Benefits, including discounts on fashion, travel, and much more from various companies.
SPARETECH's vision is to empower the zero-waste industrial sharing economy by enabling maintenance and procurement teams at manufacturing leaders like Bosch, Porsche, and Nestlé to reduce MRO spend and optimize inventory through accurate part information, internal transparency, and market visibility.
To achieve this, we have built, and continue to build, an AI-powered MRO software that connects all players in the spare parts ecosystem, from manufacturers and suppliers to the people working behind the machines. By facilitating the exchange of data, knowledge, and expertise, we create shared visibility that empowers smarter decisions, reduces waste, and drives seamless collaboration. This connected spare parts intelligence unlocks value that extends far beyond software.
Backed by Insight Partners, SPARETECH is accelerating its growth with a strong focus on product innovation and team excellence. We take pride in our inclusive and collaborative culture, as well as our energetic and committed team.
Skills Required
- Hands-on engineering experience building automations or integrations, with solid debugging and testing practices
- Practical experience building production-oriented LLM workflows and RAG architectures
- Experience with prompt and context engineering, reusable prompts and templates
- Familiarity with evaluation frameworks, monitoring, and cost/reliability optimization for AI systems
- Experience designing security guardrails, privacy-aware data use, and compliance-minded AI deployments
- Strong communication and collaboration skills; ability to train and enable cross-functional teams
- Outcome mindset with ability to define metrics and drive adoption and operational improvements
What We Do
SPARETECH is a SaaS platform that enables manufacturing companies to automate their spare parts management processes, reducing MRO spend and inventory through accurate part information and market visibility.
